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  1. Stackups
  2. DevOps
  3. Version Control
  4. Version Control System
  5. Git vs Terraform

Git vs Terraform

OverviewDecisionsComparisonAlternatives

Overview

Git
Git
Stacks343.7K
Followers184.2K
Votes6.6K
GitHub Stars57.1K
Forks26.9K
Terraform
Terraform
Stacks22.9K
Followers14.7K
Votes344
GitHub Stars47.0K
Forks10.1K

Git vs Terraform: What are the differences?

Introduction

Git and Terraform are both popular tools used in software development and infrastructure management. However, they serve different purposes and have distinct features. Below are the key differences between Git and Terraform that highlight their unique functionalities.

  1. Version Control vs. Infrastructure as Code: Git is primarily a distributed version control system (VCS) that tracks changes to files and allows multiple contributors to work on a project simultaneously. It is used to manage source code and keep track of modifications made by different team members over time. On the other hand, Terraform is an infrastructure as code (IaC) tool that enables the provisioning, management, and versioning of infrastructure resources. It defines infrastructure configurations using declarative code, allowing for automated provisioning and modification of resources.

  2. Code Repository vs. Configuration Management: Git provides a platform for hosting code repositories, allowing developers to collaborate, review, and manage code history. It provides features like branching, merging, and pull requests to streamline the development workflow. In contrast, Terraform focuses on managing and automating the configuration of infrastructure resources, such as virtual machines, networks, and storage. It helps streamline the infrastructure management process by providing features like resource provisioning, change tracking, and infrastructure drift detection.

  3. Branching and Merging vs. Resource Orchestration: Git offers powerful branching and merging capabilities that allow for parallel development, experimentation, and collaboration. Developers can create branches to work on specific features or bug fixes, and later merge their changes back into the main codebase. In contrast, Terraform focuses on orchestrating and provisioning infrastructure resources across different cloud providers or on-premises environments. It ensures that the desired state of infrastructure resources specified in Terraform code is achieved, making it easier to manage complex infrastructure configurations.

  4. Source Code Management vs. Infrastructure Lifecycle Management: Git is widely used for managing source code and ensuring consistency and version control across different development environments. It helps track changes, revert to previous versions, and collaborate effectively with other developers. In comparison, Terraform is designed to manage the entire lifecycle of infrastructure resources from creation to modification and destruction. It provides a streamlined process for managing infrastructure changes and ensuring reproducibility across various environments.

  5. Developer-centric vs. Infrastructure-focused: Git is mainly used by developers and software engineering teams to manage code repositories, collaborate on projects, and track changes. Its features and workflows are designed to cater to the specific needs of developers during the software development lifecycle. In contrast, Terraform is primarily used by DevOps and infrastructure teams to define, provision, and manage infrastructure resources. It focuses on automating infrastructure orchestration and reducing manual intervention in managing complex infrastructure configurations.

  6. Supports Multiple Programming Languages vs. Infrastructure Abstraction: Git supports a wide range of programming languages and can be used with any type of source code. It is language-agnostic and can handle repositories containing code written in different programming languages. Conversely, Terraform is language-agnostic for defining infrastructure as code and is agnostic to the specific cloud provider or infrastructure technology being used. It provides a level of abstraction that allows for consistent configuration of infrastructure resources across different platforms.

In summary, Git is a version control system primarily used for managing code repositories and enabling collaboration among developers, while Terraform is an infrastructure as code tool focused on automating infrastructure provisioning and configuration management.

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Advice on Git, Terraform

Sung Won
Sung Won

Nov 4, 2019

DecidedonGoogle Cloud IoT CoreGoogle Cloud IoT CoreTerraformTerraformPythonPython

Context: I wanted to create an end to end IoT data pipeline simulation in Google Cloud IoT Core and other GCP services. I never touched Terraform meaningfully until working on this project, and it's one of the best explorations in my development career. The documentation and syntax is incredibly human-readable and friendly. I'm used to building infrastructure through the google apis via Python , but I'm so glad past Sung did not make that decision. I was tempted to use Google Cloud Deployment Manager, but the templates were a bit convoluted by first impression. I'm glad past Sung did not make this decision either.

Solution: Leveraging Google Cloud Build Google Cloud Run Google Cloud Bigtable Google BigQuery Google Cloud Storage Google Compute Engine along with some other fun tools, I can deploy over 40 GCP resources using Terraform!

Check Out My Architecture: CLICK ME

Check out the GitHub repo attached

2.25M views2.25M
Comments
Kamaldeep
Kamaldeep

CEO at Zhoustify Agency

Nov 13, 2020

Decided

SVN is much simpler than git for the simple stuff (checking in files and updating them when everyone's online), and much more complex than git for the complicated stuff (branching and merging). Or put another way, git's learning curve is steep up front, and then increases moderately as you do weird things; SVN's learning curve is very shallow up front and then increases rapidly.

If you're storing large files, if you're not branching, if you're not storing source code, and if your team is happy with SVN and the workflow you have, I'd say you should stay on SVN.

If you're writing source code with a relatively modern development practice (developers doing local builds and tests, pre-commit code reviews, preferably automated testing, preferably some amount of open-source code), you should move to git for two reasons: first, this style of working inherently requires frequent branching and merging, and second, your ability to interact with outside projects is easier if you're all comfortable with git instead of snapshotting the outside project into SVN.

83.3k views83.3k
Comments
Timothy
Timothy

SRE

Mar 20, 2020

Decided

I personally am not a huge fan of vendor lock in for multiple reasons:

  • I've seen cost saving moves to the cloud end up costing a fortune and trapping companies due to over utilization of cloud specific features.
  • I've seen S3 failures nearly take down half the internet.
  • I've seen companies get stuck in the cloud because they aren't built cloud agnostic.

I choose to use terraform for my cloud provisioning for these reasons:

  • It's cloud agnostic so I can use it no matter where I am.
  • It isn't difficult to use and uses a relatively easy to read language.
  • It tests infrastructure before running it, and enables me to see and keep changes up to date.
  • It runs from the same CLI I do most of my CM work from.
385k views385k
Comments

Detailed Comparison

Git
Git
Terraform
Terraform

Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.

With Terraform, you describe your complete infrastructure as code, even as it spans multiple service providers. Your servers may come from AWS, your DNS may come from CloudFlare, and your database may come from Heroku. Terraform will build all these resources across all these providers in parallel.

-
Infrastructure as Code: Infrastructure is described using a high-level configuration syntax. This allows a blueprint of your datacenter to be versioned and treated as you would any other code. Additionally, infrastructure can be shared and re-used.;Execution Plans: Terraform has a "planning" step where it generates an execution plan. The execution plan shows what Terraform will do when you call apply. This lets you avoid any surprises when Terraform manipulates infrastructure.;Resource Graph: Terraform builds a graph of all your resources, and parallelizes the creation and modification of any non-dependent resources. Because of this, Terraform builds infrastructure as efficiently as possible, and operators get insight into dependencies in their infrastructure.;Change Automation: Complex changesets can be applied to your infrastructure with minimal human interaction. With the previously mentioned execution plan and resource graph, you know exactly what Terraform will change and in what order, avoiding many possible human errors
Statistics
GitHub Stars
57.1K
GitHub Stars
47.0K
GitHub Forks
26.9K
GitHub Forks
10.1K
Stacks
343.7K
Stacks
22.9K
Followers
184.2K
Followers
14.7K
Votes
6.6K
Votes
344
Pros & Cons
Pros
  • 1429
    Distributed version control system
  • 1053
    Efficient branching and merging
  • 959
    Fast
  • 843
    Open source
  • 726
    Better than svn
Cons
  • 16
    Hard to learn
  • 11
    Inconsistent command line interface
  • 9
    Easy to lose uncommitted work
  • 8
    Worst documentation ever possibly made
  • 5
    Awful merge handling
Pros
  • 121
    Infrastructure as code
  • 73
    Declarative syntax
  • 45
    Planning
  • 28
    Simple
  • 24
    Parallelism
Cons
  • 1
    Doesn't have full support to GKE
Integrations
No integrations available
Heroku
Heroku
Amazon EC2
Amazon EC2
CloudFlare
CloudFlare
DNSimple
DNSimple
Microsoft Azure
Microsoft Azure
Consul
Consul
Equinix Metal
Equinix Metal
DigitalOcean
DigitalOcean
OpenStack
OpenStack
Google Compute Engine
Google Compute Engine

What are some alternatives to Git, Terraform?

Ansible

Ansible

Ansible is an IT automation tool. It can configure systems, deploy software, and orchestrate more advanced IT tasks such as continuous deployments or zero downtime rolling updates. Ansible’s goals are foremost those of simplicity and maximum ease of use.

Chef

Chef

Chef enables you to manage and scale cloud infrastructure with no downtime or interruptions. Freely move applications and configurations from one cloud to another. Chef is integrated with all major cloud providers including Amazon EC2, VMWare, IBM Smartcloud, Rackspace, OpenStack, Windows Azure, HP Cloud, Google Compute Engine, Joyent Cloud and others.

Capistrano

Capistrano

Capistrano is a remote server automation tool. It supports the scripting and execution of arbitrary tasks, and includes a set of sane-default deployment workflows.

Puppet Labs

Puppet Labs

Puppet is an automated administrative engine for your Linux, Unix, and Windows systems and performs administrative tasks (such as adding users, installing packages, and updating server configurations) based on a centralized specification.

Salt

Salt

Salt is a new approach to infrastructure management. Easy enough to get running in minutes, scalable enough to manage tens of thousands of servers, and fast enough to communicate with them in seconds. Salt delivers a dynamic communication bus for infrastructures that can be used for orchestration, remote execution, configuration management and much more.

Mercurial

Mercurial

Mercurial is dedicated to speed and efficiency with a sane user interface. It is written in Python. Mercurial's implementation and data structures are designed to be fast. You can generate diffs between revisions, or jump back in time within seconds.

Fabric

Fabric

Fabric is a Python (2.5-2.7) library and command-line tool for streamlining the use of SSH for application deployment or systems administration tasks. It provides a basic suite of operations for executing local or remote shell commands (normally or via sudo) and uploading/downloading files, as well as auxiliary functionality such as prompting the running user for input, or aborting execution.

AWS OpsWorks

AWS OpsWorks

Start from templates for common technologies like Ruby, Node.JS, PHP, and Java, or build your own using Chef recipes to install software packages and perform any task that you can script. AWS OpsWorks can scale your application using automatic load-based or time-based scaling and maintain the health of your application by detecting failed instances and replacing them. You have full control of deployments and automation of each component

SVN (Subversion)

SVN (Subversion)

Subversion exists to be universally recognized and adopted as an open-source, centralized version control system characterized by its reliability as a safe haven for valuable data; the simplicity of its model and usage; and its ability to support the needs of a wide variety of users and projects, from individuals to large-scale enterprise operations.

Plastic SCM

Plastic SCM

Plastic SCM is a distributed version control designed for big projects. It excels on branching and merging, graphical user interfaces, and can also deal with large files and even file-locking (great for game devs). It includes "semantic" features like refactor detection to ease diffing complex refactors.

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